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Runtime error
Stranger in the Moonlight
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Commit
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Parent(s):
489b237
From Orig
Browse files- README.md +4 -8
- app.py +31 -0
- audio_example.mp3 +0 -0
- packages.txt +2 -0
- requirements.txt +2 -0
README.md
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@@ -1,8 +1,8 @@
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---
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title:
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emoji:
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colorFrom:
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colorTo:
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sdk: gradio
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app_file: app.py
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pinned: false
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@@ -25,10 +25,6 @@ Color for Thumbnail gradient (red, yellow, green, blue, indigo, purple, pink, gr
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`sdk`: _string_
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Can be either `gradio` or `streamlit`
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`sdk_version` : _string_
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Only applicable for `streamlit` SDK.
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See [doc](https://hf.co/docs/hub/spaces) for more info on supported versions.
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`app_file`: _string_
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Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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Path is relative to the root of the repository.
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---
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title: Spleeter
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emoji: π»
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colorFrom: purple
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colorTo: blue
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sdk: gradio
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app_file: app.py
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pinned: false
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`sdk`: _string_
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Can be either `gradio` or `streamlit`
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`app_file`: _string_
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Path to your main application file (which contains either `gradio` or `streamlit` Python code).
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Path is relative to the root of the repository.
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app.py
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from spleeter.separator import Separator
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import gradio as gr
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import shutil
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def spleeter(aud, instrument):
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separator = Separator('spleeter:2stems')
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try:
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shutil.rmtree("output")
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except FileNotFoundError:
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pass
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separator.separate_to_file(aud.name, "output/", filename_format="audio_example/{instrument}.wav")
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return f"./output/audio_example/{instrument}.wav", f"./output/audio_example/{instrument}.wav"
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inputs = [
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gr.inputs.Audio(label="Input Audio", type="file"),
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gr.inputs.Radio(label="Instrument", choices=["vocals", "accompaniment"], type="value")
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]
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outputs = [
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gr.outputs.Audio(label="Output Audio", type="file"),
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gr.outputs.File(label="Output File")
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]
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title = "Spleeter"
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description = "Gradio demo for Spleeter: a fast and efficient music source separation tool with pre-trained models. To use it, simply upload your audio, or click one of the examples to load them. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://research.deezer.com/projects/spleeter.html'>Spleeter: a Fast and Efficient Music Source Separation Tool with Pre-Trained Models</a> | <a href='https://github.com/deezer/spleeter'>Github Repo</a></p>"
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examples = [
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["audio_example.mp3", "vocals"]
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]
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gr.Interface(spleeter, inputs, outputs, title=title, description=description, article=article, examples=examples).launch()
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audio_example.mp3
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Binary file (263 kB). View file
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packages.txt
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libsndfile1
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ffmpeg
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requirements.txt
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spleeter
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gradio
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